AgentLens — AI Support Bot Analytics & Failure Intelligence for SMBs
Millions of SMBs have deployed AI chatbots for customer support — Intercom's Fin, Tidio's Lyro, Freshdesk's Freddy, or custom GPT-based bots. But here's the uncomfortable truth: most of these bots fail regularly, and the businesses deploying them have NO IDEA why.
The Problem
Millions of SMBs have deployed AI chatbots for customer support — Intercom's Fin, Tidio's Lyro, Freshdesk's Freddy, or custom GPT-based bots. But here's the uncomfortable truth: most of these bots fail regularly, and the businesses deploying them have NO IDEA why.
A chatbot handles 1,000 conversations per month. Of those, maybe 200 go wrong — the bot hallucinates pricing, gives outdated return policy info, fails to understand a simple question, or loops endlessly. The business owner sees a metric that says "68% resolution rate" but has no idea WHAT the other 32% looks like, WHY it failed, or HOW to fix it.
Enterprise companies pay $150K+/yr for Gong, Intercom Analytics, or custom observability. SMBs get... a resolution percentage and a list of conversations they'd have to read one by one. The gap between "your bot resolved 68% of conversations" and "your bot fails on returns questions because your knowledge base is missing the updated policy from February" is where AgentLens lives.
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